Model save

README.md

@@ -0,0 +1,58 @@
+---
+base_model: TienAnh/stage2-llavaqwen1.5-0.5B-vista-5ep
+tags:
+- generated_from_trainer
+model-index:
+- name: stage3-moe-ft-llavaqwen1.5-0.5b-vista-5ep_moe
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# stage3-moe-ft-llavaqwen1.5-0.5b-vista-5ep_moe
+
+This model is a fine-tuned version of [TienAnh/stage2-llavaqwen1.5-0.5B-vista-5ep](https://huggingface.co/TienAnh/stage2-llavaqwen1.5-0.5B-vista-5ep) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-06
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 5.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.21.0
+- Tokenizers 0.15.1

config.json

@@ -82,7 +82,7 @@
   "torch_dtype": "float16",
   "transformers_version": "4.37.0",
   "tune_mm_mlp_adapter": false,
-  "use_cache": false,
+  "use_cache": true,
   "use_mm_proj": true,
   "use_sliding_window": false,
   "video_global_proj": false,

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.37.0"
+}

model.safetensors

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pytorch_model.bin

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